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Rémi Gribonval

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Directeur de Recherche / Senior Research Scientist, INRIA


Centre de Recherche INRIA Rennes - Bretagne Atlantique,
Campus de Beaulieu, F-35042 Rennes cedex, France.
E-mail: Firstname.Lastname@inria.fr
Tel.: (+33/0) 299 842 506
Fax: (+33/0) 299 847 171

Publications complete list of publications
Teaching and presentations Master M2RI, Université Rennes I Selected talks
Matching Pursuit Software MPTK (The Matching Pursuit Toolkit) LastWave (Matching Pursuits package)
Source Separation Resources BSS_EVAL, BSS_ORACLE (BSS Evaluation Toolbox) BASS-dB (Blind Audio Source Separation Database)

NEWS

SHORT CV

I graduated from Ecole Normale Supérieure, Paris, in 1997. I prepared my Ph.D. with S.Mallat jointly at the Centre de Mathématiques Appliquées of Ecole Polytechnique and at IRCAM, Paris. I obtained my Ph.D. degree in applied mathematics from the Université Paris-IX Dauphine in 1999. In 1999-2000 I visited the Industrial Mathematics Institute at the University of South Carolina as a postdoc in the Wavelet Ideal Data Representation NSF/KDI research initiative. In 2000 I joined INRIA as Chargé de recherche at IRISA, Rennes in the SIGMA2 project. Since 2001 I am affiliated with the METISS project. I obtained my Habilitation à Diriger des Recherches (HDR) in Mathematics from the Université de Rennes I in 2007. Since 2009 I hold a position of Directeur de Recherche (Senior Research Scientist) with INRIA.

MAIN RESEARCH INTERESTS

  • Mathematical aspects of signal processing, machine learning and pattern recognition
  • Theory and algorithms for sparse representations and nonlinear approximations with redundant dictionaries
  • Audio signal processing
  • Source localization and separation
  • Time-frequency and time-scale methods

RESEARCH PROJECTS

  • ECHANGE project (2009-2011), funded by the French ANR, on Compressed Sensing of Acoustic Fields
  • SMALL project (2009-2011), funded by the EU FP7 FET-Open program, on Sparse Models, Algorithms and Learning for Large-Scale Data
  • INRIA-EPFL « Équipe associée »  (2007-2009).  SPARS: efficient sparse representations for high dimensional signal processing

Ph.D. STUDENTS

  • Ngoc Duong  Source localization in reverberant environments    (since 2008)
  • Prasad Sudhakar  Sparse models for the reconstruction of incomplete audio data  (since 2007)
  • Boris Mailhé,    2009, Joint sparse modeling of multichannel signals.
  • Simon Arberet, 2008, Robust estimation and blind learning of models for audio source separation.
  • Alexey Ozerov, 2006, Statistical model adaptation for single-channel source separation. Application to the separation of voice from music in popular songs.
  • Sylvain Lesage, 2006, Adaptive representations for signal description, separation and classification.


PAST NEWS

  • SPARS'09 (Workshop on Signal Processing with Adaptive Sparse/Structured Representations) was held in Saint-Malo, France, April 6-9 2009.
  • SPARS'05 (Workshop on Signal Processing with Adaptive Sparse/Structured Representations) was held at IRISA, Rennes, France, 16-18 November 2005.
  • A special issue on Sparse Approximations in Signal and Image Processing was published in EURASIP Signal Processing Journal in July 2006 (the call for paper was here)

PAST RESEARCH PROJECTS


SOME ADDITIONAL COLLABORATIONS


Math Dept at Univ. of Aalborg, Denmark
LTS2 at EPFL, Switzerland
IMI at Univ. South Carolina, USA
Wavelet IDR (Ideal Data Representation)
WAVE group at CMAP, Ecole Polytechnique

Created by gonon
Last modified 16.02.2010 09:43 AM